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NickPerezCarletonUniversity/Average-Quantum-Channel-Fidelity-Estimation-Simulation: Average Quantum Channel Fidelity Estimation Simulation

Authors: NickPerezCarletonUniversity;

NickPerezCarletonUniversity/Average-Quantum-Channel-Fidelity-Estimation-Simulation: Average Quantum Channel Fidelity Estimation Simulation

Abstract

A simulation of estimating a quantum channel's average fidelity, using Python and Jupyter Notebook. Code by Nicolas Perez. MIT license. Much appreciated if: credit is given to Nicolas Perez, a reference to the "A Framework for Authenticity, Integrity and Replay Protection in QuantumData Communication" paper is made explicit, and credit is given to all of the authors of the paper. The code in the jupyter notebook is for the replay detection simulation in the "A Framework for Authenticity, Integrity and Replay Protection in QuantumData Communication" paper. To get the same results as seen in the paper, the variable 'num_trials' must be set to 10000 in the last cell of the notebook. Last tested using Python 3.9.1.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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